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SRP150747
Mus musculus
112 Downloadable Samples
Illumina HiSeq 1500, Illumina HiSeq 1000
Description
Single cell RNAseq analysis of hair cells isolated from the mouse utricle at three postnatal time points Overall design: Utricular hair cells were isolated at P12 (49 cells) and P100 (23 cells) and then combined with a previously published single cell data set (samples from GSE71982) containing 35 utricular hair cells isolated at P1 (Burns et al., 2015) The previously published single cell P1 samples have been re-normalized. These samples are included in this series and all processed data are available in the file ute_normalized_data.txt, available at the foot of this record.
Publication Title
Characterization of spatial and temporal development of Type I and Type II hair cells in the mouse utricle using new cell-type-specific markers.
Sample Metadata Fields
Specimen part, Subject
View Samples- Arabidopsis thaliana
- 36 Downloadable Samples
Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Iron (Fe) is an essential plant micronutrient, and its deficiency limits plant growth and development on alkaline soils. Under Fe deficiency, plant responses include upregulation of genes involved in Fe uptake from the soil. However, little is known about shoot responses to Fe deficiency. Using microarrays to probe gene expression in Kas-1 and Tsu-1 ecotypes of Arabidopsis thaliana revealed conserved rosette gene expression responses to Fe deficiency. Fe regulated genes included known metal homeostasis-related genes, and a number of genes of unknown function.
Publication Title
Rosette iron deficiency transcript and microRNA profiling reveals links between copper and iron homeostasis in Arabidopsis thaliana.
Sample Metadata Fields
Time
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
Background: Beta-adrenergic receptor agonists (BA) induce skeletal muscle hypertrophy, yet specific mechanisms that lead to this effect are not well understood. The objective of this research was to identify novel genes and physiological pathways that potentially facilitate BA induced skeletal muscle growth. We chose to evaluate global changes in gene expression by utilizing the Affymetrix platform to identify gene expression changes in mouse skeletal muscle. Changes in gene expression were evaluated 24 h (1D) and 10 days (10D) after administration of the BA clenbuterol.
Publication Title
Changes in skeletal muscle gene expression following clenbuterol administration.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Kaposis sarcoma associated herpes virus (KSHV) is associated with tumors of endothelial and lymphoid origin. During latent infection, KSHV expresses miR-K12-11, an ortholog of the human tumor gene hsa-miR-155. Both gene products are microRNAs (miRNAs), which are important post-transcriptional regulators that contribute to tissue specific gene expression. Advances in target identification technologies and molecular interaction databases have allowed a systems biology approach to unravel the gene regulatory networks (GRNs) triggered by miR-K12-11 in endothelial and lymphoid cells. Understanding the tissue specific function of miR-K12-11 will help to elucidate underlying mechanisms of KSHV pathogenesis. Results: Ectopic expression of miR-K12-11 differentially affected gene expression in BJAB cells of lymphoid origin and TIVE cells of endothelial origin. Direct miRNA targeting accounted for a small fraction of the observed transcriptome changes: only 29 common genes were identified as putative direct targets of miR-K12-11 in both cell types. However, a number of commonly affected biological pathways, such as carbohydrate metabolism and interferon response related signaling, were revealed by gene ontology analysis. Integration of transcriptome profiling, bioinformatic algorithms, and databases of protein-protein interactome from the ENCODE project identified different nodes of GRNs utilized by miR-K12-11 in a tissue-specific fashion. These effector genes, including cancer associated transcription factors (TFs) and signaling proteins, amplified the regulatory potential of a single miRNA, from a small set of putative direct targets to a larger set of genes. Conclusions: This is the first comparative analysis of miRNA-K12-11s effects in endothelial and B cells, from tissues infected with KSHV in vivo. MiR-K12-11 was able to broadly modulate gene expression in both cell types. Using a systems biology approach, we inferred that miR-K12-11 establishes its GRN by both repressing master TFs and influencing signaling pathways, to counter the host anti-viral response and to promote proliferation and survival of infected cells. The targeted GRNs are more reproducible and informative than target gene identification, and our approach can be applied to other regulatory factors of interest.
Publication Title
A systems biology approach identified different regulatory networks targeted by KSHV miR-K12-11 in B cells and endothelial cells.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 32 Downloadable Samples
- IlluminaHiSeq2000
Description
The specialized corneal epithelium requires differentiated properties, specific for its role at the anterior surface of the eye, thus tight maintenance of the differentiated qualities of the corneal epithelial is essential. Our studies have focused on pinin (PNN), an exon junction component (EJC) that has dramatic implications on corneal epithelial cell differentiation and may act as a stabilizer of the corneal epithelial cell phenotype. Our studies revealed that PNN is involved in both transcriptional repression complexes and the spliceosomal complexes, placing PNN at the fulcrum between chromatin and mRNA splicing. Transcriptome analysis of PNN-knockdown cells revealed clear and reproducible alterations in transcript profiles and splicing patterns of a subset of genes that would significantly impact the epithelial cell phenotype. Here, we further investigate PNN’s role in the regulation of gene expression and alternative splicing (AS) in a corneal epithelial context. We used human corneal epithelial cells (HCET cells) that carry doxycycline-inducible PNN-knockdown shRNA vector and performed RNA-seq to determine differential gene expression and differential AS events. Multiple genes and AS events were identified as differentially expressed between PNN-knockdown and controls cells. Genes up-regulated by PNN-knockdown included a large proportion of genes that are associated with processes associated with enhanced cell migration and ECM remodeling including: MMPs, ADAMs, HAS2, LAMA3, CXCRs and UNC5C. Genes down-regulated in response to PNN depletion included: IGFBP5. FGD3, FGFR2, PAX6, RARG and SOX10. AS events in PNN compared to controls was also more likely to be detected, and uregulated in PNN-knockdowns. In particular, 60% of exon skipping events detected in only one condition were detected in PNN-knockdowns and of the shared exon skipping events, 92% of those differentially expressed were more frequent in the PNN-knockdown. This suggests that in the absence of PNN the epithelial cells are dramatically transformed in the amount and composition of isoforms and that PNN plays a crucial role in the selection of which isoforms differentiating cells produce. Many of the genes affected by PNN-knockdown are known to affect epithelial phenotype. This window into the complexity of RNA splicing in the corneal epithelium implies that PNN exerts broad influence over the regulation and maintenance of epithelial cell phenotype. Overall design: We used HCET cells that carry doxycycline-inducible PNN knockdown shRNA vector and performed RNA-seq to determine differential gene expression and differential alternative splicing events.
Publication Title
RNA-seq analysis of impact of PNN on gene expression and alternative splicing in corneal epithelial cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Drosophila melanogaster
- 6 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
Background: RNA-seq is revolutionizing the way we study transcriptomes. mRNA can be surveyed without prior knowledge of gene transcripts. Alternative splicing of transcript isoforms and the identification of previously unknown exons are being reported. Initial reports of differences in exon usage, and splicing between samples as well as quantitative differences among samples are beginning to surface. Biological variation has been reported to be larger than technical variation. In addition, technical variation has been reported to be in line with expectations due to random sampling. However, strategies for dealing with technical variation will differ depending on the magnitude. The size of technical variance, and the role of sampling are examined in this manuscript. Results: Independent Solexa/Illumina experiments containing technical replicates are analyzed. When coverage is low, large disagreements between technical replicates are apparent. Exon detection between technical replicates is highly variable when the coverage is less than 5 reads per nucleotide and estimates of gene expression are more likely to disagree when coverage is low. Although large disagreements in the estimates of expression are observed at all levels of coverage. Conclusions: Technical variability is too high to ignore. Technical variability results in inconsistent detection of exons at low levels of coverage. Further, the estimate of the relative abundance of a transcript can substantially disagree, even when coverage levels are high. This may be due to the low sampling fraction and if so, it will persist as an issue needing to be addressed in experimental design even as the next wave of technology produces larger numbers of reads. We provide practical recommendations for dealing with the technical variability, without dramatic cost increases. Overall design: Three independent samples of D. melanogaster female heads were collected with each sample representing a unique pool of biological material. Each sample was prepared according to manufacturer's instructions and then the same library was run on two lanes of a Solexa/Illumina flow cell, resulting in two technical replicates for each biological replicate, runs were 36 base-pair paired end.
Publication Title
A flexible Bayesian method for detecting allelic imbalance in RNA-seq data.
Sample Metadata Fields
Sex, Specimen part, Cell line, Subject
View Samples- Arabidopsis thaliana
- 20 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Differential gene expression between groups of homogenous cell types is a biological question whose time has come. RNA can be extracted from small numbers of cells, such as those isolated by laser capture microdissection, but the small amounts obtained often require amplification to enable whole genome transcriptome profiling by technologies such as microarray analysis and RNA-seq. Recently, advances in amplification procedures make amplification directly from whole cell lysates possible. The aim of this study was to compare two amplification systems for variations in observed RNA abundance attributable to the amplification procedure for use with small quantities of cells isolated by laser capture microdissection. Arabidopsis root cells undergoing giant cell formation due to nematode infestation and un-infested control root cells were laser captured and used to evaluate 2 amplification systems. One, NuGEN's WT-Ovation Pico amplification system, uses total RNA as starting material while the other, NuGEN's WT-One-Direct Amplification system, uses lysate containing the captured cells. The reproducibility of whole genome transcript profiling and correlations of both systems were investigated after microarray analysis. The NuGEN WT-Ovation One-Direct system was less reproducible and more variable than the NuGEN WT-Ovation Pico system. The NuGEN WT-Ovation Pico Amplification kit resulted in the detection of thousands of genes differentially expressed genes between giant cells and control cells. This is in marked contrast to the relatively few genes detected after amplification with the NuGEN WT-Ovation One-Direct Amplification kit.
Publication Title
Comparison between NuGEN's WT-Ovation Pico and one-direct amplification systems.
Sample Metadata Fields
Specimen part, Time
View Samples- Gallus gallus
- 8 Downloadable Samples
- Affymetrix Chicken Genome Array (chicken)
Description
Blood was extracted from embryonic hearts at E4 and E6 and non-red blood was separated by density gradient centrifugation
Publication Title
Expression profiling of circulating non-red blood cells in embryonic blood.
Sample Metadata Fields
No sample metadata fields
View Samples- Triticum aestivum
- 6 Downloadable Samples
- Affymetrix Wheat Genome Array (wheat)
Description
TaMYB13 is a transcription factor that has been associated with fructan accumulation in previous studies in wheat (Xue et al. 2011 Plant journal 68: 857 - 870). In this study we aimed to find genes regulated by TaMYB13, through overexpression of this transcription factor in wheat and perform expression analysis by making use of Affymetrix genechip assays.
Publication Title
TaMYB13-1, a R2R3 MYB transcription factor, regulates the fructan synthetic pathway and contributes to enhanced fructan accumulation in bread wheat.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 31 Downloadable Samples
- Illumina HiSeq 2500
Description
We examined the transcriptomes of murine "expandable hemangioblasts" (eHBs) and their blood and endothelial progeny, comparing them to the transcriptomes of murine embryonic stem (ES) cells, primary murine endothelial cells isolated from E11.5 yolk sacs or embryos, and E14.5 fetal liver hematopoietic stem cells. Overall design: Total RNAs were purified from lysates of cultured or primary cells, reverse transcribed, and sequenced on an Illumina HiSeq 2500.
Publication Title
An expandable, inducible hemangioblast state regulated by fibroblast growth factor.
Sample Metadata Fields
No sample metadata fields
View Samples